Just click on links Discount applied.
Dear Research Scholars,
GIS courses updated with machine learning and R. Discount is applied on all
links valid for 5 Days.
The ArcSWAT course is updated with more than 2 hr 26 minutes of video. Now
it covers weather data management using R programming. It was experienced that
weather data for swat was not available. So new section is added for data
management.
Sometimes we found simulated flow does not perfectly match with observed
flow. In this case, we need to set hydrological parameters. SWATCUP do it
automatically and suggests the best fit values. That values are again written
to SWAT to perfectly run and calibrated the swat model for a specific
watershed. That also called sensitivity analysis.
If new to GIS, then this course covers more then a university lab class.
Covers everything about remote sensing and GIS, including different ways of
georeferencing, Mosiac, excel to GIS, hydrology, 3D views, adding data from
servers, and much more GIS more than 11 hrs tutorial. Only 99%
practical. Covering ArcGIS, Erdas, and some QGIS.
This covers the application of GIS for groundwater exploration based on
theoretical parameters linked with GIS. The same method will be used for
drought or flood.
Covers landuse classification, Landsat 8, managing of high-resolution data
of Sentinal-2, Pixel editing of wrong classified pixels. Post correction of
classified image, Number of methods covered, like machine learning-based
classification and all other supervised and unsupervised methods.
Use the output of landuse classification as input for terrset based on CA
Markov model. Predict and generate a map of the future landuse of 2050 or 2090
by Machine learning.
